V. Velmurugan
- Renewable Energy, Sustainability and the Environment top 0.5%
- Water Science and Technology top 1%
- Artificial Intelligence top 2%
- Mechanical Engineering top 5%
- Biomedical Engineering
- Co-authors
- K. SritharM GopalakrishnanS. Joe Patrick GnanarajM. AppaduraiA. GnanavelbabuG. BharathirajaV. JayakumarP. Karthikeyan
- Topics
- Solar-Powered Water Purification Methods (21 papers)Solar Thermal and Photovoltaic Systems (17 papers)Solar Radiation and Photovoltaics (9 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentWater Science and TechnologyArtificial Intelligence
- Partner nations
- IndiaIrelandSouth Korea
In The Last Decade
V. Velmurugan
26 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 64
- Renewable Energy, Sustainability and the Environment 2.1k
- Water Science and Technology 840
- Artificial Intelligence 602
- Mechanical Engineering 452
- Biomedical Engineering 128
Countries citing papers authored by V. Velmurugan
This map shows the geographic impact of V. Velmurugan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by V. Velmurugan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Velmurugan more than expected).
Fields of papers citing papers by V. Velmurugan
This network shows the impact of papers produced by V. Velmurugan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by V. Velmurugan. The network helps show where V. Velmurugan may publish in the future.
Co-authorship network of co-authors of V. Velmurugan
This figure shows the co-authorship network connecting the top 25 collaborators of V. Velmurugan. A scholar is included among the top collaborators of V. Velmurugan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with V. Velmurugan. V. Velmurugan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 32 | |
| 3 | 47 | |
| 4 | 107 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | Reduction of operator’s loading and unloading time using lean systems for productivity improvement | 6 |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 170 | |
| 12 | 3 | |
| 13 | 109 | |
| 14 | 226 | |
| 15 | 81 | |
| 16 | 216 | |
| 17 | 422 | |
| 18 | 232 | |
| 19 | 150 | |
| 20 | 120 |
About V. Velmurugan
V. Velmurugan is a scholar working on Renewable Energy, Sustainability and the Environment, Water Science and Technology and Artificial Intelligence, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Solar-Powered Water Purification Methods (21 papers), Solar Thermal and Photovoltaic Systems (17 papers) and Solar Radiation and Photovoltaics (9 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.1k citations), Water Science and Technology (840 citations) and Artificial Intelligence (602 citations). V. Velmurugan has collaborated with scholars based in India, Ireland and South Korea. Frequent co-authors include K. Srithar, M Gopalakrishnan, S. Joe Patrick Gnanaraj, M. Appadurai, A. Gnanavelbabu, G. Bharathiraja, V. Jayakumar, P. Karthikeyan, Nandini Krishnamoorthy and Meenakshi A. Chellaiah. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Energy Conversion and Management and Energy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.